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Afternoon Data Analyst R Programming Jobs in Troy, MI

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

Extensive experience in data analysis tools and programming languages (i.e., Python, R, SQL). * Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field * Minimum 5 years of experience in data analytics, business ...

Technomics

Data Analyst

Troy, MI

Minimum Qualifications * 2+ years of experience in data analytics, data engineering, software development, or a related technical field. * Experience with Python, SQL, and JavaScript/TypeScript.

Technomics, Inc.

Data Analyst

Troy, MI · On-site

Minimum Qualifications * 2+ years of experience in data analytics, data engineering, software development, or a related technical field. * Experience with Python, SQL, and JavaScript/TypeScript.

HCLTech

Data Analyst

Farmington, MI

Data Analyst Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST ... digital, engineering, cloud and AI, powered by a broad portfolio of technology services and ...

Integrated Resources INC

DATA ANALYST

Detroit, MI

... analyzing programs, processes, and procedures to extract, transform, integrate, and load data into ... programming languages and tools (Oracle 12c; MS SQL Server 2012) Knowledge of logical data modeling ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on ...

Advantasure, Inc.

Audit Data Analyst

Detroit, MI · On-site

Responsible for assisting in the continuous improvement and maturity of the data analytics program ... Knowledge of Python, R, Cognos, SQL, or SAS. * Must be able to travel to various BCBSM and ...

Stellantis

Quality Data Analyst

Sterling Heights, MI · On-site

They will work with Engineering and assembly plant personnel to track issue resolution and ensure ... Analyze warranty claim data * Perform analysis of warranty data to identify trends, emerging issues ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Troy, MI

Afternoon Data Analyst R Programming information

See Troy, MI salary details

$32.2K

$78.3K

$128.9K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 25, 2026, the average yearly pay for afternoon data analyst r programming in Troy, MI is $78,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $91,900.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Troy, MI?

For Afternoon Data Analyst R Programming jobs in Troy, MI, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Troy, MI look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Troy, MI are:

What cities near Troy, MI are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Troy, MI with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Data Analyst III

AAA Life Insurance Company

Livonia, MI • On-site

$90 - $120/hr

Other

Re-posted 9 days ago

Job description

Overview

Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.

Responsibilities
  • Lead & develop automated, easy to understand reports and ad hoc analyses to address specific marketing questions and provide insights to guide decision making.
  • Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends, patterns, and key performance metrics.
  • Collaborate closely with marketing teams to interpret data and provide actionable insights to optimize marketing campaigns, customer segmentation, and overall strategy.
  • Develop and implement data governance and quality assurance processes.
  • Create and maintain Power BI reports and dashboards to translate complex data into clear visualizations that marketing staff can easily interpret and use to inform their strategies.
  • Lead and develop key performance indicators (KPIs), tracking marketing initiatives against established goals, and providing regular updates to stakeholders.
  • Conduct A/B tests and statistical analyses to evaluate the effectiveness of marketing strategies, making data-driven recommendations for improvements.
  • Collaborate with marketing teams to segment audiences effectively and personalize marketing approaches based on data-driven insights.
  • Maintain clear and organized documentation of data sources, methodologies, and analysis results.
  • Mentor junior data analysts regarding best practices in field.
Qualifications
  • Bachelor in Statistics, Marketing, Economics, Computer Science, or related technical field. Master’s degree is a plus.
  • A minimum of five years’ experience working as a Data Analyst, Marketing Analyst, or similar role.
  • Extensive experience in data analysis tools and programming languages (i.e., Python, R, SQL).
  • Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools.
  • Proficiency with marketing analytics tools and platforms (i.e., Google Analytics, Adobe Analytics).
  • Solid understanding of statistical concepts and experience with A/B testing and hypothesis testing.
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
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